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Intelligent industrial cooling technology featuring autonomous mist and airflow calibration to deliver optimal thermal comfort while significantly reducing energy consumption. Designed for large industrial spaces, it provides a cost-effective and eco-friendly alternative to traditional cooling systems, improving worker comfort, operational efficiency, and overall sustainability.

A synthetic digital twin system that generates and reconstructs point clouds using Neural Radiance Fields (NeRF) for precise industrial structural health monitoring. The technology enables automated defect detection, improved inspection accuracy, and reduced downtime.

The Specific QoL Cancer Care Platform leverages AI, digital tools, and remote monitoring to deliver personalized, patient-centric cancer care in India. It enhances quality of life by providing predictive insights, continuous symptom tracking, and real-time support to improve overall treatment outcomes and well-being.

The Charak Center for Digital Healthcare focuses on advancing translational research to strengthen India’s digital health ecosystem. It collaborates closely with clinicians, researchers, and industry to develop scalable, patient-centric digital health solutions. Its work spans AI-driven diagnostics, remote monitoring, and clinical decision support systems, aimed at improving healthcare accessibility and outcomes.

Development, validation and deployment of a novel prediction model utilizing artificial intelligence on clinical and proteomic features to predict mortality among patients with acute-on-chronic liver failure

Developing an AI-based model using clinical and proteomic features to predict mortality in patients with acute-on-chronic liver failure (ACLF).

Visual Traffic Analytics

Develops Intelligent Transportation Systems (ITS) with robust vehicle re-identification, enhancing urban traffic management, planning, and law enforcement in smart cities.

Cognitive computing approach based analysis of genomic information in blood plasma for diagnosis and prognostic for cancer

Aims to revolutionize cancer diagnosis using cell-free DNA/RNA for non-invasive early detection and tumor tracking, supported by cognitive computing.

A Computational Gastronomy Framework for Achieving Better Nutrition and Public Health

Explores AI-driven recipe generation combining flavor science and nutrition to improve public health and culinary diversity.

Explainable AI Methods for interpretable transcriptomic cancer data analysis

Develops interpretable machine learning methods for analyzing single-cell transcriptomic cancer data, addressing biological and computational challenges.

Enabling Smart-sensors via Novel Edge-AI and In-memory Compute Paradigms: From Design, Prototype to Fabrication

Innovates EDGE-AI devices for Industry 4.0, optimizing low-power hardware and in-memory compute paradigms to enhance energy efficiency and privacy.